cv-polish

cv-polish is a skill for Claude Code from xujingchen1996/research-app-toolkit. It costs 53 tokens per session (583 once invoked), scanned A, original, MIT.

A CV and resume editing tool that suggests or writes revisions for structure, wording, and fit with a target program. It supports English, Chinese, or bilingual output.

In plain words
What is it for?
Use it to polish, tailor, or optimize a CV or resume for a specific school, degree, research direction, or application.
Why use it?
It provides targeted application edits based on the candidate’s profile and intended program instead of treating every CV as a generic document.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the research-app-toolkit plugin — 9 skills, 9 commands, 1 agent, 1 hook shipped together

Good fit Use it to polish, tailor, or optimize a CV or resume for a specific school, degree, research direction, or application.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xujingchen1996/research-app-toolkit/cv-polish
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add xujingchen1996/research-app-toolkit --skill cv-polish
Clone the repo
git clone --depth 1 https://github.com/xujingchen1996/research-app-toolkit

Made for: Claude Code.

Or install research-app-toolkit, the plugin that ships this one along with the rest of its 9 skills, 9 commands, 1 agent, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cv-polish

README.md
[![agentmods](https://agentmods.dev/badge/skills/xujingchen1996/research-app-toolkit/cv-polish/github.svg)](https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/cv-polish)
Your own site
<a href="https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/cv-polish"><img src="https://agentmods.dev/badge/skills/xujingchen1996/research-app-toolkit/cv-polish/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cv-polish

Your own site · 80×15
<a href="https://agentmods.dev/skills/xujingchen1996/research-app-toolkit/cv-polish"><img src="https://agentmods.dev/badge/skills/xujingchen1996/research-app-toolkit/cv-polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 583 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00583
Opus 5 $0.00026 $0.00292
Sonnet 5 $0.00011 $0.00117
Haiku 4.5 $0.00005 $0.00058

Measured 10d ago against content hash eba277c5e31e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cv-polish scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

codex/skills/cv-polish/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CV Refinement

Preconditions

  • Read ../../memory.md first.
  • If cv_profile_analyzed is not true, or ## CV Profile is basically empty, first suggest that the user run cv-analyze, unless the user explicitly asks you to rebuild the profile directly from the current CV.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user explicitly specifies the output language or target CV language, prioritize the user's specification.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, default to following the user's current conversation language.
  • If the user requests bilingual output, prioritize one main version plus a short counterpart note, rather than mechanically repeating every line twice.

Fill In the Key Information First

If any of the following is missing, ask concise questions in Chinese to fill it in:

  • target program / school / degree
  • which 1 to 2 experiences should be emphasized
  • target research direction
  • desired output language

Working Method

  1. Read the original CV:
    • Prefer the cv_file_path recorded in memory.md
    • If it is missing, then confirm the path with the user
  2. Review it from the following dimensions:
    • whether the structural order fits research-oriented applications
    • whether the bullets use clear verbs and explicit outcomes
    • whether research-related experience is placed early enough
    • whether common research-application elements are missing, such as publications, research experience, methods, or technical stack
  3. Make targeted refinements based on the target program:
    • strengthen the experiences most relevant to the target direction
    • adjust section order
    • add necessary keywords, but do not invent experiences
  4. Decide the delivery mode based on the source file type:
    • if it is a text-based source file, it can be edited directly
    • if it is a format such as PDF / DOCX that is not suitable for stable direct rewriting, default to section-by-section rewriting suggestions and a copyable new version

Read the full file on GitHub · 59 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 59 lines · 53 tokens per session scan A eba277c5e31e

Subscribe to this mod's changes

cv-polish is a skill published in the GitHub repository xujingchen1996/research-app-toolkit (115 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 583 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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